AI Engineer Intern - Summer 2027

DV Trading•Chicago, IL

9h•$40 - $50•Onsite

About The Position

This is a project-focused internship for an AI engineer embedded on the DevOps team. You will report to the DevOps lead and partner with internal technology teams. The work centers on internal, production-adjacent tooling—not training or shipping customer-facing ML models.

Requirements

Pursuing a BS or MS in Computer Science, Computer Engineering, Information Systems, or a related field
Expected to graduate by Summer 2028
Hands-on experience using AI tools (e.g. LLM APIs, assistants, or coding agents) in real projects; preferably experience building an agent (tools, orchestration, or similar—not only prompt-only chat).
Experience with RAG (retrieval design, chunking, evaluation, grounding, or production-minded prototyping)—including applying it to real or simulated internal/knowledge-base style data, not only public tutorials.
Python for prototyping and integration; comfortable consuming and creating APIs and working with JSON; able to understand YAML for configs.
Git workflow: branches, merge requests, meaningful commit messages.
Strong judgment on data handling: no secrets in prompts/logs, minimize sensitive data, follow internal policies.

Nice To Haves

Linux fundamentals (shell, processes, logs, permissions, basic troubleshooting).
Networking basics: DNS, TCP/HTTP/S, ports, load balancing vs Ingress at a conceptual level.
Kubernetes fundamentals: debugging, pods, services, ingress Coursework or projects involving Kubernetes, Prometheus/Grafana, OpenTelemetry, CI/CD, Terraform/Ansible, or cloud (AWS/GCP/Azure).

Responsibilities

Design and prototype agent workflows with tool use, policy boundaries, and human-in-the-loop where appropriate.
Collaborate with platform and service teams to make more observability and operational context available in a safe, governed way for agents.
Document experiments, limitations, evaluation approach, and safety assumptions; ship changes via Git (branches, merge requests, meaningful commits).